65 lines
1.5 KiB
C++
65 lines
1.5 KiB
C++
#include <opencv2/opencv.hpp>
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#include <iostream>
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using namespace cv;
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int main(int argc, char **argv)
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{
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std::string filename;
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Mat image, hsv_image, mask;
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int brightless = 0;
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// Get Filename
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std::cout << "Input Filename:";
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std::cin >> filename;
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// Load the image
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if (filename != "")
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{
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image = imread(filename, IMREAD_COLOR);
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if (image.empty())
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{
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std::cout << "Failed to open the image!" << std::endl;
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return -1;
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}
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}
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// Convert the image to HSV color and filter the background color
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cvtColor(image, hsv_image, COLOR_BGR2HSV);
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// Output the statistics
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double minv, maxv;
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Point minloc, maxloc;
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std::vector<Mat> mv;
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split(image, mv);
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for (int i = 0; i < mv.size(); i++)
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{
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minMaxLoc(mv[i], &minv, &maxv, &minloc, &maxloc);
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std::cout << "min:" << minv << " max:" << maxv << " minloc:"
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<< minloc << " maxloc:" << maxloc << std::endl;
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}
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Mat mean, stddev;
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meanStdDev(image, mean, stddev);
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std::cout << "mean:" << std::endl << mean << std::endl;
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std::cout << "stddev" << std::endl << stddev << std::endl;
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inRange(hsv_image, Scalar(0, 0, 221), Scalar(180, 30, 255), mask);
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namedWindow("Image Mask", WINDOW_NORMAL);
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imshow("Image Mask", mask);
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while (1)
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{
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int c = waitKey(1);
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if (c != -1)
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{
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std::cout << c << std::endl;
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}
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if (c == 27)
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{
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break;
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}
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}
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destroyAllWindows();
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return 0;
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}
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